VI-CFAR: A novel CFAR algorithm based on data variability

The VI-CFAR processor performs adaptive threshold target detection using a composite approach based on the well known CA-CFAR, SO-CFAR, and GO-CPAR background estimation algorithms. After envelope detection, radar range samples are stored in a tapped delay line such that a test cell is surrounded on either side by a set of reference cells. The M-CFAR dynamically chooses either the leading reference cells, the lagging reference cells, or the combined leading and lagging reference cells for background noise/clutter power estimation. Selection of the reference cells and the background estimation algorithm is based on the ratio of the means of the two half reference windows and on the ''variability index (VI)'' values calculated for the leading and lagging reference windows. The VI is a second-order statistic that is related to the shape parameter. Hypothesis tests based on the variability indices and the mean ratio are used to decide if the environment is homogeneous, contains multiple targets, or contains an extended clutter edge. Based on the decision, the VI-CFAR tailors the background estimation algorithm as discussed. The VI-CFAR processor provides low loss constant false alarm rate performance in a homogeneous environment and also performs robustly in non-homogeneous environments including multiple targets and extended clutter edges.